A game theory distributed approach for energy optimization in WSNs.
Andrea AbrardoLapo BalucantiAlessandro MecocciPublished in: ACM Trans. Sens. Networks (2013)
Keyphrases
- game theory
- cooperative
- energy consumption
- game theoretic
- wireless sensor networks
- energy efficient
- energy saving
- energy efficiency
- nash equilibrium
- multi agent systems
- sensor nodes
- multi agent
- resource allocation
- fictitious play
- statistical physics
- energy conservation
- nash equilibria
- mechanism design
- sensor networks
- multi agent learning
- energy aware
- financial crisis
- global optimization
- peer to peer
- decision theory
- evolutionary game theory
- multi agent cooperation
- solution concepts
- learning algorithm
- evolutionary algorithm
- routing algorithm